Instructions to use walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-Background with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-Background with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("walentines/SVD-Temporal-ControlNet-Car-Generator-Canny-Background", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
SVD-Temporal-ControlNet-Car-Generator-Canny-Background / controlnet /diffusion_pytorch_model.safetensors
- Xet hash:
- a6a4a1973681b411e78c08da45df8fcac36fe414b376bf9560c17d1e6c028608
- Size of remote file:
- 2.73 GB
- SHA256:
- b2bdbc224f373692667afd2f245cd5eae798da0a089bbf39f5504706d5d8e3cc
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